S. Supangkat

Wi-Fi CSI-Based Human Presence and Respiration Detection in Non-Line-of-Sight Environments Using Dual-Receiver Sensor Fusion on Edge Devices

A fundamental challenge in search and rescue (SAR) operations is detecting victims trapped beneath collapsed structures under non-line-of-sight (NLOS) conditions, where building materials obstruct the direct propagation path between the sensing system and the victim. This paper presents a proof-of-concept Wi-Fi Channel...

A Comparative Study of Pre-trained Language Models for Cognitive Distortion Detection in Indonesian Text

Cognitive distortions are maladaptive thinking patterns that are closely associated with anxiety, depression, and other mental health disorders. Early detection of these distortive thoughts through textual expressions has the potential to support scalable mental health preventive actions. However, the comparative study...

Prediction-Conditioned RAG: A Data-Driven Digital Twin Approach for Diabetes Clinical Decision Support in Resource-Constrained Settings

Diabetes management in Indonesia remains largely reactive, constrained by costly continuous glucose monitoring (CGM), uneven electronic health record (EHR) adoption, and reliance on manual self-monitoring logbooks. State-of-the-art digital twin frameworks for glycemic management achieve strong predictive accuracy but r...

A Quantitative Framework for Measuring Linguistic Domain Gap in Indonesian Government Language Models

Domain-specific pre-trained language models (PTLMs) for the Indonesian government sector, such as IndoGovBERT, are typically trained on national-level corpora yet deployed on sub-national administrative text with markedly different linguistic characteristics, such as village development documents. The decision to apply...

An AI-Driven Situational Awareness Architecture for Citywide Energy Governance with Risk-Prioritized Multi-Drone Verification

Increasing urban energy complexity requires governance architectures capable of integrating predictive intelligence, distributed sensing, physical verification, and accountable response at city scale. Conventional energy monitoring remains reactive and fragmented across buildings, electric vehicle charging hubs, public...

PM2.5 Temporal Pattern Analysis and Prediction in a Tropical Urban Area Using Community-Based IoT Sensor Network and Machine Learning

Air quality monitoring in rapidly growing tropical cities remains a critical challenge. This study presents a combined temporal analysis and machine learning-based prediction of PM2.5 concentrations in a tropical urban area, Indonesia, using hourly data from three community-operated PurpleAir IoT sensor nodes throughou...

A Bibliometric and Systematic Review of Generative and Emotionally Intelligent AI in B2B Startup Sales within Emerging Markets

Artificial Intelligence (AI) integration influences Business-to-Business (B2B) sales strategies by providing startups with operational scalability. However, dependence on automated generative systems can decrease client responsiveness and introduce data privacy and trust vulnerabilities. This interaction gap highlights...

SAIL-LLM: A Risk-Aware Architecture for Preventing Employee-Driven Data Leakage in Enterprise LLM Deployments

Enterprise employees increasingly use Large Language Models (LLMs) to summarize documents, analyze business data, and support daily work, creating a pre-inference leakage risk when confidential content is submitted before organizational policy controls are applied. This paper proposes SAIL-LLM, a situational awareness-...

Development of a Machine Learning Model and Explainable Artificial Intelligence for Hypertension Risk Estimation System

Hypertension is a leading modifiable risk factor for cardiovascular disease, yet its management remains largely reactive, so many cases are detected only after complications arise. Machine learning (ML) can estimate hypertension risk earlier, but the black-box nature of high-performing models hinders clinical trust; fu...

Predictive Model for Last-Mile Delivery Failure Detection: A Systematic Literature Review and Comparative Experiment on a National Logistics Operator’s Data

Failed last-mile deliveries impose cascading operational costs on postal networks, yet most predictive approaches rely on synthetic datasets or single-method evaluations that limit real-world applicability. This paper addresses that gap through a PRISMA-compliant Systematic Literature Review (SLR) of 261 Scopus records...

Enhancement of Video Analytics for Vehicle Counting and Origin-Destination Tracking at Intersections Performance Evaluation

Cybersecure and Privacy-Aware Governance Framework With Face Verification ID in Digital Public Infrastructure Toward a Trusted and Secure Digital Society: A Systematic Literature Review

The discussion proposes a layered governance architecture that integrates identity assurance, biometric verification, cyber defence, privacy governance, interoperability orchestration, and accountability mechanisms within a single DPI-oriented framework.